On-Demand Meal Delivery Platforms: Operational Level Data and Research Opportunities

This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtaine...

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Bibliographic Details
Published in:Manufacturing & service operations management 2022-09, Vol.24 (5), p.2535-2542
Main Authors: Mao, Wenzheng, Ming, Liu, Rong, Ying, Tang, Christopher S., Zheng, Huan
Format: Article
Language:English
Subjects:
Deliveries
meal delivery platforms
Meals
Operations management
platform operations
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Summary:This paper describes the operations of most on-demand meal delivery platforms and discusses how empirical research can improve the operational performance of these platforms. To support and encourage more studies on the operations of on-demand delivery platforms, we provide a unique data set obtained from a meal delivery platform in China. This data set contains operational level data sampled from July 1 to August 31, 2015, in Hangzhou, China. The data set includes information about order placements, order deliveries, restaurants, drivers, weather and traffic conditions, and so on. We also review recent studies on meal delivery platforms and suggest research opportunities for improving delivery performance.
ISSN:1523-4614
1526-5498
DOI:10.1287/msom.2022.1112